The document discusses microservices and Spring Boot. It covers microservice basics like independent services that are responsible for a single business capability. It also discusses Spring Boot fundamentals like using annotations and embedding Tomcat to build a production-grade Spring application. It then covers testing technologies like Cucumber for behavior-driven development and Pact for contract testing microservices. Finally, it discusses deploying Spring Boot applications to Docker.
This document provides an overview of Spring and Spring Boot frameworks. It discusses the history of Java and Spring, how Spring provides inversion of control and dependency injection. It also covers Spring MVC for web applications, Spring Data for data access, and how Spring Boot aims to simplify configuration. The document concludes with discussing some next steps including looking at Spring Security, Spring Cloud, and using Spring with other JVM languages.
Building microservices sample applicationAnil Allewar
The slides provide details on how to build the sample Microservices application that covers the whole distributed system paradigm.
Please refer to the introduction to Microservices before following the contents in this slide
https://www.slideshare.net/anilallewar/introduction-to-microservices-78270318
Fundamental Spring Boot: Keep it Simple, Get it Right, Be Productive and Have...VMware Tanzu
The document summarizes key concepts for working with Spring Boot fundamentals including:
- Application properties can be managed through YAML files with different profiles for environments and validated through POJOs
- Dependency injection preferably uses constructor injection and Lombok can generate code
- Troubleshooting tips include turning on debug logs and leveraging actuator endpoints
- Being productive involves using Lombok, DevTools, Boot Dashboard, and the H2 console.
Cloud Native Microservices with Spring CloudConor Svensson
In this talk we are going to discuss some of the key components of Spring Cloud. This includes the Netflix OSS integrations for Spring Boot apps which include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). We will also touch on the Spring Cloud centralised configuration server and deploy these apps to Cloud Foundry.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
Microservices - java ee vs spring boot and spring cloudBen Wilcock
Spring Boot and Spring Cloud provide an easier and more productive framework for building cloud-native microservices compared to Java EE. Spring Boot simplifies the development, deployment, and management of microservices. Spring Cloud adds helpful capabilities for service discovery, external configuration, load balancing, and monitoring that are missing from Java EE. While Java EE adoption is declining, the use of Spring Boot and Spring Cloud is growing rapidly among developers.
This document provides an overview of Spring Boot, a framework for creating stand-alone, production-grade Spring based applications. It discusses how Spring Boot aims to make it easy to create Spring applications with default configurations and minimal code. The key topics covered include: using Maven and Gradle build tools with Spring Boot, common features and conventions like auto-configuration and main application classes, Spring Data and JPA for database access, Spring MVC features for web applications, and testing Spring applications.
1) VISIONEER has developed a revolutionary concept called Model-based Requirement Engineering (MBRE) and a system-kit for embedded systems that uses simple class notations to generate standardized specifications that become a model that can be handled with object-oriented methods.
2) MBRE features include easy-to-learn object-oriented requirement engineering, automatisms for smart and standardized specifications, controlled reuse of imported MBSE diagrams and libraries, and controlled handling of requirements and solutions.
3) A key feature of MBRE is an integrated method for standardized description of behavioral requirements that can define and verify that all behavioral requirements are completely and clearly defined, which is an expensive problem for embedded systems.
The document discusses microservices architecture and how Spring Boot can be used to develop microservices. Some key points include:
- Microservices architecture decomposes an application into small, independent services that communicate over the network, improving fault isolation and scalability compared to a monolithic architecture.
- Spring Boot makes it easy to create stand-alone Spring-based applications and services. It includes useful starter dependencies and auto-configuration options.
- Developing microservices with Spring Boot offers benefits like rapid development cycles, easy scaling, and leveraging the Spring ecosystem of Java libraries and tools.
The document provides an overview of Spring Cloud, including:
- Spring Cloud aims to provide tools for building distributed systems using familiar Spring tools. It wraps other implementation stacks to be consumed via Spring.
- Core components include service discovery with Eureka, client-side load balancing with Ribbon, and circuit breaking with Hystrix.
- Additional tools include the Feign REST client, API gateway capabilities, and integration with Spring Boot.
- Examples demonstrate basic configurations for service registration, load balancing between instances, and using circuit breakers and fallback methods.
Spring Boot is a framework for creating stand-alone, production-grade Spring based applications that can be "just run". It aims to provide a radically faster and widely accessible starting experience for developing Spring applications. Spring Boot applications can be started using java -jar or traditional WAR deployments and require very little Spring configuration. The document then discusses system requirements, development environment, creating a simple Hello World application, using Spring Boot Admin to monitor applications, configuring databases, Spring Data JPA, REST controllers, caching with EhCache, building web applications with Thymeleaf, and project structure.
This document provides an overview of developing a web application using Spring Boot that connects to a MySQL database. It discusses setting up the development environment, the benefits of Spring Boot, basic project structure, integrating Spring MVC and JPA/Hibernate for database access. Code examples and links are provided to help get started with a Spring Boot application that reads from a MySQL database and displays the employee data on a web page.
Resilient Microservices with Spring CloudVMware Tanzu
This document discusses building resilient microservices with Spring Cloud. It defines criteria for cloud native, cloud resilient, cloud friendly, and cloud ready applications. It also describes Spring Cloud features for service discovery, circuit breakers, and gateway routing that help meet these criteria. The presentation includes demos of Spring Cloud service discovery and circuit breakers, and a Kubernetes demo using Spring Cloud Kubernetes.
Once you have your Microservices setup, the most pertinent question is how to I test Microservices and ensure that all the moving parts of this distributed system stay in sync.
The presentation provides testing strategies on how to test Microservices and provides focussed understanding of using Consumer Driven Contracts (CDC) to test Microservices API. Additionally it provides pointers around how to do debug Microservices and trace the performance of individual services.
Please read the following presentations before referencing "Testing Microservices"
1. Introduction to Microservices - https://www.slideshare.net/anilallewar/introduction-to-microservices-78270318
2. Build the Microservices sample application -
https://www.slideshare.net/anilallewar/building-microservices-sample-application
A Series of Fortunate Events: Building an Operator in JavaVMware Tanzu
SpringOne 2021:
Session Title: A Series of Fortunate Events: Building an Operator in Java
Speakers: Alberto C. Ríos, Staff Engineer at VMware; Bella Bai, Software Engineer at VMware
What We Learned from Porting PiggyMetrics from Spring Boot to MicroProfileEd Burns
PiggyMetrics is a popular open source end-to-end sample which demonstrates the use of Spring Boot and Spring Cloud features in a microservices-style application. Spring Boot and MicroProfile are popular competing frameworks for building apps in the cloud-native microservices style. Functionally, architecturally, and historically they have many things in common. From a business, economic and governance perspective they have significant differences. This session from Java Champions Ed Burns and Emily Jiang, respectively of Microsoft and IBM, briefly surveys the history and non-technical aspects in comparing the Spring Boot and MicroProfile stacks and then will take you through a real world case study based on PiggyMetrics. We will share our experience of porting it from Spring to MicroProfile.
PiggyMetrics models a personal finance application and uses cloud native microservices features such as externalized configuration, aggregate logs, service metrics, security propagation, and distributed tracing. The porting exercise utilizes MicroProfile features such as Config, Metrics, Health Check, Fault Tolerance, Open Tracing and JWT Propagation along with Jakarta CDI, REST and JSON Binding.
Join Ed and Emily for a fun and informative compare and contrast ride.
Spring cloud for microservices architectureIgor Khotin
I'm covering a new trend in distributed enterprise architecture – microservices. How the leading technology companies like Netflix and Amazon come to use that approach. How does it help them to scale their infrastructure. And how the newest set of tools in the Spring family would help you to apply those design principles in practice.
Spring has always been about patterns and Spring Cloud brings you implementation of several widespread ones for distributed apps.
And we'll try to show why DevOps should come in front of Microservices approach
This document summarizes the new features in recent releases of Spring Data MongoDB. Spring Data MongoDB 3.0 included major upgrades to the MongoDB Java driver from version 2.x to 4.x, which changed dependencies and configuration. Version 3.0 also added the ability to perform updates via the aggregation pipeline and made changes to the reactive GridFS implementation. Spring Data MongoDB 3.1 focuses on closing gaps to the imperative implementation, including adding reactive support for SpEL queries, auditing, and metrics collection. It also improves the experience of building native images with GraalVM.
Getting Started with API Management – Why It's Needed On-prem and in the CloudRevelation Technologies
APIs are one of the main elements of cloud services. All major cloud service providers expose REST APIs to allow you to programmatically access their services and capabilities. SOAP and REST are the two most common ways of exposing APIs, whether to external, partner, cloud, or internal developers.
The concept of API management is to publish these web APIs for consumption, and includes capabilities such as monitoring, security, and documentation.
This presentation introduces basic concepts of APIs, API management, cloud REST services, and a brief walkthrough of WSO2 API Manager and Oracle API Gateway to see how you can centrally publish, expose, and secure APIs, essentially virtualizing your backend services.
Webinar - Building Custom Extensions With AppDynamicsTodd Radel
The webinar discusses how to build custom extensions for AppDynamics to import additional metrics. It covers writing script and Java extensions, configuring extensions, and best practices. The presenter demonstrates extensions that count files and import metrics from Linux collectd. Attendees learn how extensions plug into the machine agent and use custom metrics in dashboards and health rules.
In this webinar, we review the benefits of deploying a microservices architecture with Cassandra as your backbone in order to ensure your applications become incredibly reliable. We discuss in detail:
- How to create microservices in Node.js with ExpressJs and Seneca
- Tuning the Node.js driver for Cassandra: error handling, load balancing and degrees of parallelism
- Additional best practices to ensure your systems are highly performant and available
The sample service is available on GitHub: https://github.com/jorgebay/killr-service
Hands-On Lab: Improve large network visibility and operational efficiency wit...CA Technologies
CA Performance Management is a big data collection, warehousing and analytics solution that helps communications service providers and enterprises maximize return on their network infrastructure investments and lower the cost of network operations.
In this presentation, you'll learn about some of CA Performance Management's foundational features (e.g. predefined dashboards and reports, creating and deploying discovery and monitoring profiles and eventing) and advanced features (e.g, automating custom groups creation and device population).
See for yourself how this modern tool, a generation beyond CA eHealth and CA NetVoyant, can help you handle your network as it grows in size, complexity and payload.
For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
Turbocharge your development efforts your with a "hands on" introduction to quickly building apps using the MongoDB database as a service offering known as Atlas and the serverless / REST based application development environment known as Stitch. We'll begin with a brief introduction to MongoDB, Atlas, and Stitch. You will learn about 3 real world examples of two day prototypes and rapid production cycles. You will then create your own free MongoDB Atlas database as a service cluster. Then you will write your first Stitch application to put data into your database and query data out of it. You will learn how to enhance your application with serverless stitch functions and triggers. At the end of the 90 minute session you will have a hands on experience and good grasp of how to write custom serverless applications with MongoDB.
Building 12-factor Cloud Native MicroservicesJakarta_EE
The document discusses the twelve-factor app methodology for building cloud-native microservices. It describes the twelve factors including codebase, dependencies, configuration, backing services, build/release/run stages, processes, port binding, concurrency, disposability, development/production parity, logs, and admin processes. It then demonstrates how to build a twelve-factor app using MicroProfile specifications and Kubernetes, with a live coding example of two microservices. References are provided for further reading.
Journey to containers by Chet Lintz - AWS Chicago Jan 17,2018 user group on C...AWS Chicago
"Journey to Containers" - Chet Lintz, Software Engineer at Label Insight
17
JAN
Past Meetup
AWS Chicago
Jan 17, 2018 user group event: Evaluating and using ECS, Docker, and Kubernetes
Distributed Solar Systems at EDF Renewables and AWS IoT: A Natural Fit (PUT30...Amazon Web Services
The AWS suite of managed services for IoT enables companies to quickly and easily deploy devices to the edge and synchronize their industrial time-series data from multiple sites to the AWS Cloud, where advanced analytics and machine learning can generate valuable insights about their business. In this session, learn how EDF Renewables used AWS Greengrass, AWS IoT Core, AWS IoT Analytics, and AWS Lambda to facilitate the collection, aggregation, and quality assurance of operational data from solar installations. Hear how working with AWS Professional Services transformed its approach to product development, and learn what challenges and solutions came with choosing leading-edge services form AWS.
Through this presentation you will gain a good understanding of how the clean architecture pattern is implemented at Taxibeat. What issues the Android Taxibeat team has faced so far and what solutions we came up with. Of course, the benefits of clean architecture will also be discussed along with the way we managed to build two fast paced iterative apps that share functionality.
When it comes to microservice architecture, sometimes all you wanted is to perform cross cutting concerns ( logging, authentication , caching, CORS, Routing, load balancing , exception handling , tracing, resiliency etc..) and also there might be a scenario where you wanted to perform certain manipulations on your request payload before hitting into your actual handler. And this should not be a repetitive code in each of the services , so all you might need is a single place to orchestrate all these concerns and that is where Middleware comes into the picture. In the demo I will be covering how to orchestrate these cross cutting concerns by using Azure functions as a Serverless model.
The UAT Application allows businesses to manage test passes for applications within projects. It offers role-based testing and interfaces to create multiple projects and test passes. Metrics such as test cases, steps, testers and project status can be captured. The application was developed for performance and uses technologies like SharePoint 2013, workflows, and JavaScript. It provides benefits like cost savings, scenario testing, and test result triage and reporting.
Spring boot microservice metrics monitoringOracle Korea
This document summarizes a presentation on monitoring microservices with Spring Boot. It discusses evolving architectures from monolithic to microservices and challenges in microservices. It then covers different monitoring techniques like metrics, tracing and logging. It provides an overview of tools like Prometheus, Grafana, Spring Boot Admin, Eureka and Consul for monitoring microservices. Finally, it outlines hands-on labs to set up monitoring of a sample application with different tool combinations.
Spring Boot - Microservice Metrics MonitoringDonghuKIM2
마이크로서비스 아키텍쳐에서의 분산된 서비스간의 모니터링 방법을 소개합니다.
- Microservice Monitoring with Service Discovery (Eureka) Spring Boot Admin
- Microservice Monitoring with Service Discovery (Consul), Prometheus, Grafana
This document summarizes a MongoDB "Hands On" Stitch tutorial presentation. The presentation provided an overview of MongoDB Atlas and Stitch, demonstrated a basic blog tutorial to show how quickly applications can be built, and had attendees complete a hands-on tutorial creating an Atlas cluster and Stitch application. It discusses how the tutorial enabled developers at various companies and events.
This hands on workshop explores implementing various microservices patterns using 1) Pure Netflix OSS 2) Docker with Netflix and Prometheus 3) Docker & Kubernetes with Prometheus
The document discusses virtual prototyping and validation tools that can speed up product design processes. It notes challenges facing manufacturers like increasing complexity, costs, and changing market needs. The presentation covers using virtual reality and simulation to enable collaborative early design reviews from anywhere. Attendees will see demonstrations of photorealistic visualization, simulations, and remote collaboration tools. The document also speculates on future possibilities like utilizing cloud computing and 5G networks for these virtual design and validation processes.
This document discusses generating custom documents from Salesforce data. It covers exporting record pages, reports, and spreadsheets to PDF and ZIP files from Apex and Lightning components. The agenda includes dynamic data export with PDF, accessing exports from Apex/Lightning, and packing files into scalable ZIP archives. Code samples demonstrate rendering record pages and reports to PDF using Visualforce and Apex.
This document discusses Salesforce DX, which is a development tool that allows developers to develop, test, and deploy Salesforce applications locally. It introduces key concepts like the Salesforce CLI, scratch orgs, unlocked packages, and continuous integration.
The Salesforce CLI is the main tool for Salesforce DX that allows developers to create scratch orgs and manage the local source code. A scratch org is a temporary development environment, while a Developer Hub org is used to manage scratch orgs. Projects are defined in a sfdx-project.json file.
Unlocked packages allow encapsulating and versioning metadata changes. They promote modular development and support dependencies. Continuous integration automates the deployment pipeline by running Salesforce
The document discusses optimization of airport baggage handling systems. It describes Accenture's experience with such systems, including key performance indicators like travel time and throughput. Various impact factors on material flow are outlined, like number of errors and conveyor speed. The optimization project life cycle is examined, from the tender period through commissioning and go-live. Methods to avoid bottlenecks and balance loads are presented. The value of optimization for clients is highlighted in terms of improved throughput, reduced costs and better service quality. Success stories from implemented systems are also briefly mentioned.
- The document discusses an overview presentation on SAP S/4HANA given by Accenture.
- It introduces S/4HANA and highlights key areas like simplification, data model changes, suites and products, and digital core.
- Demo sections show the simplification list, Fiori apps library and launchpad extensibility, and how embedded analytics can enrich business processes.
- Key takeaways note the differences between SAP HANA, S/4HANA, and S/4HANA Enterprise Management, and how add-ons are being integrated over time.
In the first period of our meetup-series we introduced the Smart Factory, based on the 0-2 levels of the ANSI/ISA-95 model.
We have presented the specifications of the discrete and the process manufacturing. Also showcased the industrial automation from the physical sensors to the SCADA/HMI systems from the Smart Factory's point of view.
This document summarizes Accenture's meetup on microservices. It discusses Accenture's services including process design, solution architecture, and industry automation. It then discusses microservices and examples of how to implement them including authentication, versioning, scaling, state management, external dependencies, failure preparation, complex logic, and legacy system decoupling. Various solutions are proposed by different people attending the meetup on how to address issues like performance, memory, and integrating older systems.
Introduction to NEW SAP - Accenture Technology MeetupAccenture Hungary
ABAP fejlesztő vagy? Tanácsadó? Nincs elég időd követni az SAP újdonságait, szeretnéd átlátni az egészet és felkészülni az új SAP-ra? Ezúttal az SAP területe került terítékre, s a NEW SAP alapjait mutattuk be.
Az előadás során az SAP HANA, az SAP S/4HANA Enterprise Management, a SAPUI5 és a FIORI, az SAP Cloud Platform, és az SAP Leonardo platformokról volt szó, ezek szerepeiről és együttes hatásáról.
Előadó: Petr Stary (SAP Technology Lead in Accenture)
SCADA a gyakorlatban - Accenture Industry X.0 MeetupAccenture Hungary
Július utolsó délutánján az ipari SCADA rendszerről, annak fejlődéséről és jövőjéről beszélgettünk.
Meséltünk a jelenlegi piacvezető SCADA termékekről és felhasználási területeikről, bemutattunk egy tipikus SCADA rendszer felépítést, kitértünk az IT security és SCADA rendszerek integrációjára is. Szót ejtettünk a SCADA vs. MES vs. Connected platform versenyről, érintettük a Digital Twin és Thread rendszereket, melyekben a SCADA egy nagyon fontos alkotóelem lehet.
A meetup során láthattátok, hogyan épül fel egy SCADA project, sőt, egy példa kapcsán kötetlenül beszélgettünk jelen megoldásunkról, és a továbbfejlesztés lehetőségeiről. Néhány mondatot szenteltünk a SCADA jövőjének is, hiszen ebben a SCADA az AR/VR technológiákkal integrálva jelenik meg. Ez olyan új lehetőségekkel szolgál, mint hogy virtuális környezetben bejárhatjuk a technológiát és valós idejű adatokat láthatunk a berendezés mellett; vagy a berendezés meghibásodás estén a javítási instrukciók a szemünk előtt folyamatosan jelennek meg.
Sokszor találkozol a digital thread kifejezéssel, de nem tudod hogy pontosan micsoda? Kíváncsi lenné rá, hogyan használják a cégek? Olvasd el prezentációnkat, amit előadtunk az idei Simonyi Konferencián!
Break data silos with real-time connectivity using Confluent Cloud Connectorsconfluent
Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.
Seamless PostgreSQL to Snowflake Data Transfer in 8 Simple StepsEstuary Flow
Unlock the full potential of your data by effortlessly migrating from PostgreSQL to Snowflake, the leading cloud data warehouse. This comprehensive guide presents an easy-to-follow 8-step process using Estuary Flow, an open-source data operations platform designed to simplify data pipelines.
Discover how to seamlessly transfer your PostgreSQL data to Snowflake, leveraging Estuary Flow's intuitive interface and powerful real-time replication capabilities. Harness the power of both platforms to create a robust data ecosystem that drives business intelligence, analytics, and data-driven decision-making.
Key Takeaways:
1. Effortless Migration: Learn how to migrate your PostgreSQL data to Snowflake in 8 simple steps, even with limited technical expertise.
2. Real-Time Insights: Achieve near-instantaneous data syncing for up-to-the-minute analytics and reporting.
3. Cost-Effective Solution: Lower your total cost of ownership (TCO) with Estuary Flow's efficient and scalable architecture.
4. Seamless Integration: Combine the strengths of PostgreSQL's transactional power with Snowflake's cloud-native scalability and data warehousing features.
Don't miss out on this opportunity to unlock the full potential of your data. Read & Download this comprehensive guide now and embark on a seamless data journey from PostgreSQL to Snowflake with Estuary Flow!
Try it Free: https://dashboard.estuary.dev/register
Software development... for all? (keynote at ICSOFT'2024)miso_uam
Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require.
To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals).
In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.
CViewSurvey Digitech Pvt Ltd that works on a proven C.A.A.G. model.bhatinidhi2001
CViewSurvey is a SaaS-based Web & Mobile application that provides digital transformation to traditional paper surveys and feedback for customer & employee experience, field & market research that helps you evaluate your customer's as well as employee's loyalty.
With our unique C.A.A.G. Collect, Analysis, Act & Grow approach; business & industry’s can create customized surveys on web, publish on app to collect unlimited response & review AI backed real-time data analytics on mobile & tablets anytime, anywhere. Data collected when offline is securely stored in the device, which syncs to the cloud server when connected to any network.
Cultural Shifts: Embracing DevOps for Organizational TransformationMindfire Solution
Mindfire Solutions specializes in DevOps services, facilitating digital transformation through streamlined software development and operational efficiency. Their expertise enhances collaboration, accelerates delivery cycles, and ensures scalability using cloud-native technologies. Mindfire Solutions empowers businesses to innovate rapidly and maintain competitive advantage in dynamic market landscapes.
A captivating AI chatbot PowerPoint presentation is made with a striking backdrop in order to attract a wider audience. Select this template featuring several AI chatbot visuals to boost audience engagement and spontaneity. With the aid of this multi-colored template, you may make a compelling presentation and get extra bonuses. To easily elucidate your ideas, choose a typeface with vibrant colors. You can include your data regarding utilizing the chatbot methodology to the remaining half of the template.
Lots of bloggers are using Google AdSense now. It’s getting really popular. With AdSense, bloggers can make money by showing ads on their websites. Read this important article written by the experienced designers of the best website designing company in Delhi –
Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools.
What is OCR Technology and How to Extract Text from Any Image for FreeTwisterTools
Discover the fascinating world of Optical Character Recognition (OCR) technology with our comprehensive presentation. Learn how OCR converts various types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. Dive into the history, modern applications, and future trends of OCR technology. Get step-by-step instructions on how to extract text from any image online for free using a simple tool, along with best practices for OCR image preparation. Ideal for professionals, students, and tech enthusiasts looking to harness the power of OCR.
A Comparative Analysis of Functional and Non-Functional Testing.pdfkalichargn70th171
A robust software testing strategy encompassing functional and non-functional testing is fundamental for development teams. These twin pillars are essential for ensuring the success of your applications. But why are they so critical?
Functional testing rigorously examines the application's processes against predefined requirements, ensuring they align seamlessly. Conversely, non-functional testing evaluates performance and reliability under load, enhancing the end-user experience.